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Found 10 papers, 0 papers with code
Recycle Your Wav2Vec2 Codebook: A Speech Perceiver for Keyword Spotting
We do so by transferring the codebook as weights for the latent bottleneck of a Keyword Spotting Perceiver, thus initializing such model with phonetic embeddings already.
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
Echoing the widely-reported "emergent abilities" of large language models when trained on increasing volume of data, we show that BASE TTS variants built with 10K+ hours and 500M+ parameters begin to demonstrate natural prosody on textually complex sentences.
Data Augmentation for Low-Resource Quechua ASR Improvement
In this paper we describe our data augmentation approach to improve the results of ASR models for low-resource and agglutinative languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Voice Quality and Pitch Features in Transformer-Based Speech Recognition
Jitter and shimmer measurements have shown to be carriers of voice quality and prosodic information which enhance the performance of tasks like speaker recognition, diarization or automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Influence of ASR and Language Model on Alzheimer's Disease Detection
Furthermore, we study the influence of a language model -- which tends to correct non-standard sequences of words -- with the lack of language model to decode the hypothesis from the ASR.
English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System
Nowadays, research in speech technologies has gotten a lot out thanks to recently created public domain corpora that contain thousands of recording hours.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Speech Enhancement for Wake-Up-Word detection in Voice Assistants
Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants.
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Convolutional Speech Recognition with Pitch and Voice Quality Features
Up to our knowledge, this is the first work combining such pitch and voice quality features with modern convolutional architectures, showing improvements up to 7% and 3% relative WER points, for the publicly available Spanish Common Voice and LibriSpeech 100h datasets, respectively.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing
The use of photoplethysmogram signal (PPG) for heart and sleep monitoring is commonly found nowadays in smartphones and wrist wearables.
